Search
Search Results
-
Tree-based boosting with functional data
In this article we propose a boosting algorithm for regression with functional explanatory variables and scalar responses. The algorithm uses...
-
Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for the Mean of a Normal Population: Big Data Context
In this paper, we provide some new perspectives on sequential experimental designs for statistical inference in the context of big data. A fine-tuned...
-
Machine learning embedded EM algorithms for semiparametric mixture regression models
In this article, we propose two machine learning embedded algorithms for a class of semiparametric mixture models, where the mixing proportions and...
-
Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data
Expectile regression (ER) naturally extends the classical least squares to investigate heterogeneous effects of covariates on the distribution of the...
-
Rate of Convergence
The fundamental requirement in data analysis is the consistent estimation of a parameter. As the sample size increases, the precision of the...
-
Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data
In capture-recapture problems, when individuals are categorized into different groups and individuals within each group are suspected to be captured...
-
Probability of default estimation in credit risk using a nonparametric approach
In this paper, four nonparametric estimators of the probability of default in credit risk are proposed and compared. They are derived from estimators...
-
Statistical Inference in Marginalized Zero-inflated Poisson Regression Models with Missing Data in Covariates
AbstractThe marginalized zero-inflated poisson (MZIP) regression model quantifies the effects of an explanatory variable in the mixture population....
-
Mean test for high-dimensional data based on covariance matrix with linear structures
In this work, the mean test is considered under the condition that the number of dimensions p is much larger than the sample size n when the...
-
Adjusted Inference for the Spatial Scan Statistic
A modification is proposed to the usual inference test of the Kulldorff’s spatial scan statistic, incorporating additional information about the size...
-
Weighted fractional generalized cumulative past entropy and its properties
In this paper, we introduce weighted fractional generalized cumulative past entropy of a nonnegative absolutely continuous random variable. Various...
-
Reproducibility of Statistical Tests Based on Randomised Response Data
Reproducibility of experimental conclusions is an important topic in various fields, including social studies. The lack of reproducibility in...
-
The nonparametric location-scale mixture cure model
We propose completely nonparametric methodology to investigate location-scale modeling of two-component mixture cure models that is similar in spirit...
-
Inference for non-probability samples under high-dimensional covariate-adjusted superpopulation model
Non-probability samples become increasingly popular in sampling survey with lower costs, shorter time durations and higher efficiencies. In the...
-
A Semi-parametric Density Estimation with Application in Clustering
The idea behind density-based clustering is to associate groups to the connected components of the level sets of the density of the data to be...
-
A note on the application of stochastic approximation to computerized adaptive testing
In the study of item response theory (IRT), the maximum information (item selection) method (or procedure, rule) is prevailing in test constructions,...
-
Adaptive tests for ANOVA in Fisher–von Mises–Langevin populations under heteroscedasticity
Fisher–von Mises–Langevin distributions are widely used for modeling directional data. In this paper, the problem of testing homogeneity of mean...
-
MANOVA for Large Number of Treatments
The performance of Wilks’ likelihood ratio test statistic...